Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.2 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Fernandes
1
54 kgGuderzo
2
54 kgGarcía
3
54 kgSierra
5
57 kgCantele
6
58 kgAmialiusik
8
53 kgSundstedt
9
52 kgDa Silva Souza
11
53 kgPeñuela
12
53 kgDrexel
19
62 kgPavlukhina
27
68 kgDel Rocio Rocha
32
58 kgCecchini
34
52 kgValsecchi
37
58 kgSanabria
38
51 kgHsiao
42
58 kgGonzalez
48
61 kg
1
54 kgGuderzo
2
54 kgGarcía
3
54 kgSierra
5
57 kgCantele
6
58 kgAmialiusik
8
53 kgSundstedt
9
52 kgDa Silva Souza
11
53 kgPeñuela
12
53 kgDrexel
19
62 kgPavlukhina
27
68 kgDel Rocio Rocha
32
58 kgCecchini
34
52 kgValsecchi
37
58 kgSanabria
38
51 kgHsiao
42
58 kgGonzalez
48
61 kg
Weight (KG) →
Result →
68
51
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERNANDES Clemilda | 54 |
| 2 | GUDERZO Tatiana | 54 |
| 3 | GARCÍA Evelyn | 54 |
| 5 | SIERRA Arlenis | 57 |
| 6 | CANTELE Noemi | 58 |
| 8 | AMIALIUSIK Alena | 53 |
| 9 | SUNDSTEDT Pia | 52 |
| 11 | DA SILVA SOUZA Fernanda | 53 |
| 12 | PEÑUELA Diana | 53 |
| 19 | DREXEL Ingrid | 62 |
| 27 | PAVLUKHINA Olena | 68 |
| 32 | DEL ROCIO ROCHA Mayra | 58 |
| 34 | CECCHINI Elena | 52 |
| 37 | VALSECCHI Silvia | 58 |
| 38 | SANABRIA Ana Cristina | 51 |
| 42 | HSIAO Mei Yu | 58 |
| 48 | GONZALEZ Yumari | 61 |